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Hydroelectric power plant management relying on neural networks and expert system integration

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Computación Evolutiva y Redes Neuronales (EVANNAI)es
dc.contributor.authorMolina López, José Manuel
dc.contributor.authorIsasi, Pedro
dc.contributor.authorBerlanga de Jesús, Antonio
dc.contributor.authorSanchis de Miguel, María Araceli
dc.date.accessioned2009-04-14T12:46:49Z
dc.date.available2009-04-14T12:46:49Z
dc.date.issued2000-06
dc.description.abstractThe use of Neural Networks (NN) is a novel approach that can help in taking decisions when integrated in a more general system, in particular with expert systems. In this paper, an architecture for the management of hydroelectric power plants is introduced. This relies on monitoring a large number of signals, representing the technical parameters of the real plant. The general architecture is composed of an Expert System and two NN modules: Acoustic Prediction (NNAP) and Predictive Maintenance (NNPM). The NNAP is based on Kohonen Learning Vector Quantization (LVQ) Networks in order to distinguish the sounds emitted by electricity-generating machine groups. The NNPM uses an ART-MAP to identify different situations from the plant state variables, in order to prevent future malfunctions. In addition, a special process to generate a complete training set has been designed for the ART-MAP module. This process has been developed to deal with the absence of data about abnormal plant situations, and is based on neural nets trained with the backpropagation algorithm.
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationEngineering Applications of Artificial Intelligence, 13, 3 (2000), 357-369
dc.identifier.doi10.1016/S0952-1976(00)00009-9
dc.identifier.issn0952-1976
dc.identifier.publicationfirstpage357
dc.identifier.publicationissue3
dc.identifier.publicationlastpage369
dc.identifier.publicationtitleEngineering Applications of Artificial Intelligence
dc.identifier.publicationvolume13
dc.identifier.urihttps://hdl.handle.net/10016/3939
dc.language.isoeng
dc.publisherElsevier
dc.relation.publisherversionhttp://dx.doi.org/10.1016/S0952-1976(00)00009-9
dc.rights© Elsevier
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherPredictive maintenance
dc.subject.otherNeural networks
dc.subject.otherART
dc.subject.otherLVQ
dc.subject.otherPower plants
dc.subject.otherExpert systems
dc.titleHydroelectric power plant management relying on neural networks and expert system integration
dc.typeresearch article*
dc.type.reviewPeerReviewed
dspace.entity.typePublication
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